Perez, Andres Daniel andresd.perez@uam.es
Publications
- Articles 7
- Books 0
- Book chapters 0
- Conferences 0
- Working papers 0
- Technical reports 0
- Research projects 0
- Supervised theses 0
- Patent or software license 0
Towards a method to anticipate dark matter signals with deep learning at the LHC
- Arganda, E
- Medina, AD
- Perez, AD
- Szynkman, A
Scipost Physics - 1/2/2022
10.21468/scipostphys.12.2.063 View at source
- ISSN 25424653
A method for approximating optimal statistical significances with machine-learned likelihoods
European Physical Journal c - 1/11/2022
10.1140/epjc/s10052-022-10944-3 View at source
- ISSN 14346044
The new (g−2)μ and right-handed sneutrino dark matter
- Kim JS
- López-Fogliani DE
- Perez AD
- Ruiz de Austri R
Nuclear Physics b - 1/1/2022
10.1016/j.nuclphysb.2021.115637 View at source
- ISSN 05503213
Dark matter candidates in the NMSSM with RH neutrino superfields
- López-Fogliani DE
- Perez AD
- de Austri RR
Journal Of Cosmology And Astroparticle Physics - 1/4/2021
10.1088/1475-7516/2021/04/067 View at source
- ISSN 14757516
MeV-GeV γ-ray telescopes probing gravitino LSP with coexisting axino NLSP as dark matter in the μνSSM
- Gómez-Vargas GA
- López-Fogliani DE
- Muñoz C
- Perez AD
Astroparticle Physics - 1/2/2021
10.1016/j.astropartphys.2020.102506 View at source
- ISSN 09276505
MeV-GeV gamma-ray telescopes probing axino LSP/gravitino NLSP as dark matter in the mu nu SSM
- Gomez-Vargas, German A.
- Lopez-Fogliani, Daniel E.
- Munoz, Carlos
- Perez, Andres D.;
Journal Of Cosmology And Astroparticle Physics - 31/1/2020
10.1088/1475-7516/2020/01/058 View at source
- ISSN 14757516
Search for sharp and smooth spectral signatures of μν SSM gravitino dark matter with Fermi-LAT
- Gómez-Vargas GA
- López-Fogliani DE
- Muñoz C
- Perez AD
- De Austri RR
Journal Of Cosmology And Astroparticle Physics - 24/3/2017
10.1088/1475-7516/2017/03/047 View at source
- ISSN 14757516
This researcher has no books.
This researcher has no book chapters.
This researcher has no conferences.
This researcher has no working papers.
This researcher has no technical reports.
This researcher has no research projects.
This researcher has no supervised thesis.
This researcher has no patents or software licenses.
Researcher profiles
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Scopus Author ID